Datalakes Observational model predictions (2019)

Hydrodynamic model predictions for Lake Geneva generated using the SPUX Bayesian inference and uncertainty quantification package (https://doi.org/10.5281/zenodo.5638312) and the MITgcm hydrodynamics package (https://doi.org/10.5281/zenodo.5634041). The datasets contain the mean temperature/velocity predictions, as well as their respective spreads. The source repository for this dataset with predictions extended to September 2021 can be found at https://renkulab.io/gitlab/datalakes/hydrodynamic-model. The extended dataset is visualized on the Datalakes website: https://www.datalakes-eawag.ch/datadetail/17本数据集为日内瓦湖的水动力模型预测结果，由SPUX贝叶斯推断与不确定性量化工具包（SPUX Bayesian inference and uncertainty quantification package）与MITgcm水动力学工具包（MITgcm hydrodynamics package）生成，两款工具包的DOI分别为https://doi.org/10.5281/zenodo.5638312及https://doi.org/10.5281/zenodo.5634041。该数据集包含平均温度、流速的预测结果及其各自对应的不确定性离散范围。该数据集的源代码仓库（其预测结果已扩展至2021年9月）可于https://renkulab.io/gitlab/datalakes/hydrodynamic-model获取。扩展后的数据集已在Datalakes网站完成可视化展示，对应网址为https://www.datalakes-eawag.ch/datadetail/17。